Offline attribution measurement platform

The company, a scale-up in AdTechheadquartered in Spain, needed to solve this challenge: “offline attributionmeasurement platform”. The obstacle wasn't so much business domain knowledge—always valuable— as finding profiles with demonstrable experience in theproject's specific technology stack; in fact, they had already tried hiring forit without success, with the added expense and lost opportunity that entailed.There was no systematic way to monitor the technical health of the project dayto day, and risks were only detected once they had already impacted delivery.On top of this, there were methodological problems in team and projectmanagement: inconsistent agile ceremonies, poor visibility into dependencies,and a delivery cadence that was hard to predict. The context was one ofaccelerated growth, with investment already committed and high expectationsfrom leadership and, where applicable, investors.

Squad Challenge set up 4 challenges, oneper position, focused on professionals who already had a relationship with theclient —from its own team or from outsourcing firms it worked with—, evaluatingan average of 5 candidates per position (20 in total) in 3 days. Since theclient also raised methodological problems in team and project management,Squadmakers recommended bringing in an additional Agile Coach for the squad.

Squad Master AI became operationalwithin 24h and, on a recurring monthly basis, gave leadership a daily,objective read on code quality, project progress, and each squad member'sperformance.

The squad was made up of 5 profiles (data engineer,full-stack developer, ML engineer, Squad Lead, Agile Coach) working on a stackof Go, React, Cassandra, BigQuery, GitHub, AWS, sourced from the client and itsoutsourcing firms. This squad integrated with the company's existing in-housetechnical team, respecting established processes and priorities. Since some ofthese profiles came from outsourcing firms, their turnover was high (around50%), which led to evaluating 2 additional replacements over the course of theproject, reaching a total commitment of 24 months.